1,001 to 1,025 of 5,628 Permanent AWS Jobs

opportunity to work on a modern product roadmap, building next-generation platforms and payment systems that are shaping the future of digital lending. Tech Stack Java 11+ Spring Boot AWS Microservices architecture Docker/Kubernetes Kafka (or similar messaging tools) Key Responsibilities Design and develop high-performance, low-latency software components. Contribute across the full software development lifecycle. Write and More ❯

or JavaScript Collaborate with engineers, data scientists, and product teams on exciting new features Contribute to technical discussions and see your ideas implemented fast Get exposure to cloud computing (AWS/Azure), CI/CD pipelines, and AI tools What We’re Looking For A recent STEM graduate (Computer Science, Engineering, Physics, Maths, etc.) from one of the top-ranked More ❯

Deep expertise in React , JavaScript/TypeScript, and modern front-end frameworks. Experience working with RESTful APIs and building rich, data-driven interfaces. Knowledge of cloud environments (Azure or AWS) and CI/CD pipelines (GitHub Actions, Jenkins, etc.). Familiarity with .NET environments and SQL/Entity Framework would be a plus. A passion for quality — from testing and More ❯

performance optimization. Experience with ServiceNow for incident/change/problem management. Excellent analytical, troubleshooting, and communication skills. Nice to Have Exposure to cloud-based Big Data platforms (e.g., AWS EMR Familiarity with containerization (Docker, Kubernetes) and infrastructure automation tools (Ansible, Terraform Note: If you are interested, please share your updated resume and suggest the best number & time to connect More ❯

including libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch . Solid understanding of ML algorithms , NLP , deep learning , and statistical methods. Experience with Docker, Kubernetes , and cloud platforms like AWS/Azure/GCP . Hands-on experience with MLOps tools (MLflow, SageMaker, Kubeflow, etc.) and version control systems. Strong knowledge of APIs, microservices architecture, and CI/CD pipelines. More ❯

Experience 5+ years experience in DevOps, Platform, or Site Reliability Engineering Strong Kubernetes expertise and proven experience managing production-grade clusters Proficiency across at least one major cloud platform (AWS, Azure, or GCP) Understanding of networking, identity management, and secure cloud operations Familiarity with Agile delivery and working within multi-disciplinary, secure environments Eligible for UK Security Clearance (SC or More ❯

Experience • 5+ years’ experience in DevOps, Platform, or Site Reliability Engineering • Strong Kubernetes expertise and proven experience managing production-grade clusters • Proficiency across at least one major cloud platform (AWS, Azure, or GCP) • Understanding of networking, identity management, and secure cloud operations • Familiarity with Agile delivery and working within multi-disciplinary, secure environments • Eligible for UK Security Clearance (SC or More ❯

experience building production-grade APIs. Solid knowledge of PostgreSQL or similar relational databases. Familiarity with containerisation and orchestration tools (Docker, Kubernetes). Practical experience deploying and maintaining systems in AWS or other cloud environments. Proven ability to write high-quality, testable, and well-documented code. Excellent communication skills and comfort working in distributed teams. Nice to Have: Hands-on experience More ❯

with some leadership experience Hands-on engineering background, preferably as an Engineering Manager or technical lead in cloud, DevOps, or compute environments Deep technical expertise in cloud platforms (GCP, AWS, or Azure), containerization, CI/CD, and infrastructure-as-code Docker; Kubernetes (EKS, GKE, AKS); Jenkins, GitLab CI, or GitHub Actions; Terraform or CloudFormation; Prometheus, Grafana, Datadog, or New Relic More ❯

with some leadership experience Hands-on engineering background, preferably as an Engineering Manager or technical lead in cloud, DevOps, or compute environments Deep technical expertise in cloud platforms (GCP, AWS, or Azure), containerization, CI/CD, and infrastructure-as-code Docker; Kubernetes (EKS, GKE, AKS); Jenkins, GitLab CI, or GitHub Actions; Terraform or CloudFormation; Prometheus, Grafana, Datadog, or New Relic More ❯

data modeling, ETL/ELT design, and data lakehouse concepts. Proficiency in Python, SQL, and Spark optimization techniques. Experience working with cloud data platforms such as Azure Data Lake, AWS S3, or GCP BigQuery. Strong understanding of data quality frameworks, testing, and CI/CD pipelines for data workflows. Excellent communication skills and ability to collaborate across teams. Preferred Qualifications More ❯

Description Join one of the most innovative and agile Java development teams in the country as we embark on a new chapter in London. Who are we? We are the leading software developers for web security testing. We are a More ❯

with AI engineering teams to ensure smooth delivery from prototype to production. What You’ll Bring Strong background in cloud infrastructure engineering — experience with at least one major provider ( AWS, Azure, or GCP ). Proven ability to deploy and manage systems across hybrid or multi-cloud and on-premise environments. Expertise with Kubernetes, Docker , and container orchestration at scale. Familiarity More ❯

AI systems using LLMs, transformers, and neural networks Expert-level Python; strong in R, Java, or C++ Hands-on with TensorFlow, PyTorch, Keras, Hugging Face, LangChain Cloud-native mindset: AWS, Azure, GCP + Docker, Kubernetes, CI/CD Deep understanding of ML/DL algorithms, model evaluation, and data engineering Strong communicator and collaborator across technical and business teams Bonus More ❯

Python, C++[2] , Java ● Experience with version control and code review tools such as Git ● Knowledge of latest data pipeline orchestration tools such as Airflow ● Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience More ❯

Python, C++[2] , Java ● Experience with version control and code review tools such as Git ● Knowledge of latest data pipeline orchestration tools such as Airflow ● Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience More ❯

of relevant experience. Preferred Qualifications: - Proven experience in B2B platform engineering and technologies such as REACT, Sprint Boot, and Java. - Familiarity with Salesforce, Docker, Kubernetes, Cypress, Sonar, Open Search, AWS and microservices architecture. - Strong foundation in core engineering principles, with the ability to apply them to solution design, scalability, and performance optimization in B2B environments. - Proficiency with modern engineering toolsets More ❯

APIs and related testing methodologies. Mandatory expertise in Karate Framework. Experience with REST Assured, Postman, Selenium/Cypress, and other automation tools. Working knowledge of cloud-native architectures (AWS, Azure, GCP) and Kubernetes. Experience with Git, CI/CD pipelines, and testing in distributed systems. Familiarity with IaC tools (Terraform, Ansible) is a plus. Soft Skills Strong communication and ability More ❯

npm) to streamline development. What You Will Need: Strong experience in Node.js, RESTful APIs, and microservices. Experience with relational databases (MySQL, PostgreSQL). Familiarity with cloud platforms (GCP or AWS, Azure). Expertise in Git, CI/CD pipelines, and end-to-end testing (Cypress). Nice to Have: Experience with micro-frontends, WebSockets, or message brokers. Knowledge of infrastructure More ❯

to explore the potential for a strong alignment. Strong experience in JavaScript, extensive experience in React specifically. Extensive experience with Python, ideally including geospatial data processing . Experience with AWS, serverless and containerization. Proven commercial development experience delivering client requirements. Familiarity with automated tooling as part of continuous integration, such as automated testing and static analysis tools. Excellent problem-solving More ❯

not holding an existing clearance Extensive experience in digital architecture design and implementation Strong knowledge of public sector regulations and compliance requirements Proficiency in cloud technologies and architecture (e.g. AWS, Azure, Google Cloud) Expertise in software development methodologies and best practices Ability to design and implement secure and scalable digital solutions Strong communication and stakeholder management skills Experience in leading More ❯

testing tools and design patterns. Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects. Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud . Whats in It for You? We believe in rewarding great work. Heres what you can look forward to as part of our team: 25 Days More ❯

and reliable deployment strategies (e.g., serverless applications, containerization) and model monitoring, observability and continuous improvement Strong proficiency in designing and utilizing CI/CD pipelines and cloud infrastructure (e.g., AWS, GCP, Azure) to automate and streamline the delivery of data science products, with an appreciation of wider software development best practices and how they can be applied Exceptional ability to More ❯

within API management, IAM or integration Good knowledge of REST, JSON and XML Some scripting experience, ideally with Java or JavaScript/Python Hands-on experience with cloud providers (AWS, Azure, GCP) Ability to design deployment architectures (HA, DR, etc) Understanding of Kubernetes, Docker, CI/CD processes as well as experience with Linux Creativity and innovation to come up More ❯

in regulated FinTech or payments/banking/wealth. Built/led engineering orgs of 20+ across multiple parallel product lines, within a microservices architecture and Cloud-native context (AWS/Azure/GCP). Engineering excellence leader with deep SDLC mastery with a pragmatic implementation approach to architecture, platform and tooling. Embedded DevSecOps and automated policy and quality controls More ❯